Investigations on efficient adaptation algorithms

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buir.advisorArıkan, Orhan
dc.contributor.authorBelge, Murat
dc.date.accessioned2016-01-08T20:12:15Z
dc.date.available2016-01-08T20:12:15Z
dc.date.issued1995
dc.descriptionAnkara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent Univ., 1995.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1995.en_US
dc.descriptionIncludes bibliographical references leaves 71-75.en_US
dc.description.abstractEfficient adaptation algorithms, which are intended to improve the performances of the LMS and the RLS algorithms are introduced. It is shown that nonlinear transformations of the input and the desired signals by a softlimiter improve the convergence speed of the LMS algorithm at no cost, with a small bias in the optimal filter coefficients. Also, the new algorithm can be used to filter a-stable non-Gaussian processes for which the conventional adaptive algorithms are useless. In a second approach, a prewhitening filter is used to increase the convergence speed of the LMS algorithm. It is shown that prewhitening does not change the relation between the input and the desired signals provided that the relation is a linear one. A low order adaptive prewhitening filter can provide significant speed up in the convergence. Finally, adaptive filtering algorithms running on roughly quantized signals are proposed to decrease the number of multiplications in the LMS and the RLS algorithms. Although, they require significantly less computations their preformances are comparable to those of the conventional LMS and RLS algorithms.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T20:12:15Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilityBelge, Muraten_US
dc.format.extentx, 75 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/17655
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.lccTK7872.F5 B45 1995en_US
dc.subject.lcshAdaptive filters.en_US
dc.subject.lcshAdaptive signal processing.en_US
dc.titleInvestigations on efficient adaptation algorithmsen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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